2. Machine Learning

Supervised learning, unsupervised learning, reinforcement learning, features, evaluation, and ensembles.

Machine Learning

Material

Supervised Learning

Regression

Classification

Unsupervised Learning

Clustering

Dimensionality Reduction

Reinforcement Learning

Feature Engineering

Model Evaluation

Ensemble Methods